dsigma: a galaxy-galaxy lensing python package

dsigma is an easy-to-use python package for analyzing galaxy-galaxy lensing. It has a broadly applicable API and is optimized for computational efficiency. While originally intended to be used with the shape catalog of the Hyper-Suprime Cam (HSC) survey, it should work for other surveys, most prominently the Dark Energy Survey (DES) and the Kilo-Degree Survey (KiDS).

Authors

• Johannes Lange

• Song Huang

Getting Started

• Installation
• Background
  • Excess Surface Density
  • Tangential Shear
  • Naive Estimator
  • Correction Terms
    • Biased Lens Sample
    • Photometric Redshifts
    • Boost Factor
    • Shear Response
    • Shear Responsivity
    • Selection Bias
    • Random Subtraction

Workflow

• Data Preparation
  • Lens Catalog
  • Source Catalog
  • Calibration Catalog
• Precomputation
  • Lens-Source Cuts
  • Precomputation
• Stacking the Signal
• Jackknife Resampling
  • Continous Fields
  • Jackknife Fields
  • Resampling

Applications

• Introduction
  • BOSS Lens Catalog
• Dark Energy Survey (DES)
  • Downloading the Data
  • Preparing the Data
  • Selection Response
  • Note on the Estimator
  • Pre-Computing the Signal
  • Stacking the Signal
  • Acknowledgements
• Hyper Suprime-Cam (HSC)
  • Downloading the Data
  • Preparing the Data
  • Pre-Computing the Signal
  • Stacking the Signal
  • Acknowledgements
• Kilo-Degree Survey (KiDS)
  • Downloading the Data
  • Preparing the Data
  • Pre-Computing the Signal
  • Stacking the Signal
  • Acknowledgements

API Documentation

• dsigma.helpers module
• dsigma.jackknife module
• dsigma.physics module
• dsigma.precompute module
• dsigma.stacking module
• dsigma.surveys module